Evidence map›Paper›PMID 34674035›Full record

ArticleInternational archives of occupational and environmental health2022

Identifying predictors of return to work and the duration of time off work in first responders affected with musculoskeletal injuries or mental health issues.

Shannon C Killip, Joy C MacDermid, Kathryn E Sinden, Rebecca E Gewurtz, Liz Scott

Abstract read
PubMed Publisher
In one paragraph

Article in International archives of occupational and environmental health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 29% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Workplace Reintegration Programs, Policies, and Procedures for Nurses Experiencing Operational Stress Injury: A Scoping Literature Review.The Canadian journal of nursing research = Revue canadienne de recherche en sciences infirmieres · 2024
    Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 2 countries.

Shannon C KillipSchool of Rehabilitation Science, McMaster University, 1400 Main Street West IAHS 403, Hamilton, ON, L8S 4L8, Canada. killips@mcmaster.ca.ORCID http://orcid.org/0000-0002-2595-974X
Joy C MacDermidSchool of Rehabilitation Science, McMaster University, 1400 Main Street West IAHS 403, Hamilton, ON, L8S 4L8, Canada.
Kathryn E SindenSchool of Kinesiology, Lakehead University, 955 Oliver Rd, Thunder Bay, ON, P7B 5E1, Canada.
Rebecca E GewurtzSchool of Rehabilitation Science, McMaster University, 1400 Main Street West IAHS 403, Hamilton, ON, L8S 4L8, Canada.
Liz ScottSchool of Psychology, Capella University, Minnesota, USA.
McMaster University · CAInternational Civil Aviation Organization · CALakehead University · CAWestern University · CA

Funding

Canadian Institutes of Health Research FRN: HPW-146016Ontario Ministry of Labour FRN: 13-R-027Social Sciences and Humanities Research Council of Canada FRN: 890-2016-3013
6 · The paper itself

Abstract

purposeTo identify predictors of return to work, duration of time off work, and claim closure for first responders experiencing injuries or illnesses, and summarize the claim data.

methodsFirst responder claims collected between January 2012 and July 2017 were obtained from a disability management company. Known predictors of return to work were extracted from the data including age, sex, diagnosis, years of service, claim lag, medical report lag, and the return-to-work duties. Survival analyses were performed to identify predictors of return to work and claim closure using the Cox proportional regression analysis. Log-rank tests were performed to identify predictors that affected the rate of return to work and claim closure. Summary statistics were performed for the injury and return-to-work data.

results60 of the 67 (89.6%) identified first responders returned to work within the data collection period. Musculoskeletal injuries predicted an increased likelihood of returning to work (hazard ratio = 2.0, 95%CI = 1.14-3.60) and a shorter duration of time off work (37 days on average) compared to mental health issues. Everyday of claim lag and medical report lag predicted a 2% decrease in likelihood of return to work. Returning to work was the only predictor of claim closure. 45 (67.2%) first responders returned to their pre-absence duties. 22 (32.8%) mental health claims and 45 (67.2%) injury claims were identified.

conclusions89.6% of first responders returned to work, although only 67.2% returned to their pre-absence duties. Predictors of return to work included injury type, as first responders with musculoskeletal injuries returned to work sooner, and claim and medical lag delayed the return to work.

Indexed as

Emergency RespondersOccupational InjuriesHumansMental HealthReturn to WorkWorkers' CompensationEmergency respondersMental healthOccupational injuriesReturn to workWounds and injuries

Identifiers

PMID34674035
OpenAlexW3206996572

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.